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A generic implementation of Victor Grishchenko's Causal Tree CRDT, written in Swift. State-based (CvRDT) implementation. Features many tweaks, including a site identifier map, atom references, and priority atoms. Uses Lamport timestamps instead of "awareness". Performance is good: everything should be O(nlogn) or faster.

Imagine that you are working for a large news publisher called Fairflax Media, inspired by flax flower (not to be mistaken with Fairfax Media, of course). You have been tasked with breaking the huge monolith system into microservices and moving everything to Kuberentes. You prefer domain driven design, and believe that each database should only ever be owned by a single application. But as time goes by, you notice that many services need common data. You need to make sure that the data is consistent across all services and the query performance is reasonable.